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EnglishIn this work we investigate the joint estimation of the integer carrier frequency offset (CFO) and the preamble index in a multicarrier system compliant with the WiMAX specifications. Since the exact ML solution is prohibitively complex in its general formulation, a suboptimal algorithm is developed to provide a reasonable trade-off between estimation accuracy and processing load. Compared to existing alternatives, the resulting scheme exhibits improved accuracy and reduced sensitivity to residual timing errors.
| Titolo: | Integer frequency offset estimation and preamble identification in WiMAX systems |
| Autori interni: | |
| Anno del prodotto: | 2014 |
| Abstract: | In this work we investigate the joint estimation of the integer carrier frequency offset (CFO) and the preamble index in a multicarrier system compliant with the WiMAX specifications. Since the exact ML solution is prohibitively complex in its general formulation, a suboptimal algorithm is developed to provide a reasonable trade-off between estimation accuracy and processing load. Compared to existing alternatives, the resulting scheme exhibits improved accuracy and reduced sensitivity to residual timing errors. |
| Handle: | http://hdl.handle.net/11568/543675 |
| ISBN: | 9781479920037 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11568/543675
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